Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning . With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries. Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering. As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value. Responsibilities: Lead high-impact customer engagements focused on Databricks Data Platform solutions. Define and drive technical strategies that align Databricks capabilities with customer objectives. Architect scalable, secure, and reliable Databricks on AWS platforms, integrating with other AWS services and open-source technologies. Provide technical expertise during the pre-sales process, assisting with RFPs/RFIs and creating solution architectures. Oversee end-to-end implementation of data platforms, collaborating with cross-functional teams. Conduct POCs and technical demos to demonstrate Databricks capabilities. Build relationships with customer stakeholders, acting as a trusted advisor on data platform initiatives. Promote best practices in data governance, pipelines, and platform architecture. Mentor junior team members and contribute to knowledge-sharing efforts. Stay current on Databricks and cloud technology advancements. Requirements: Experience in data solution architecture. Proven experience in designing and implementing large-scale data engineering solutions on AWS. Deep expertise in the Databricks platform. Strong knowledge of AWS services such as S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS. Proficient in programming languages like Python, SQL, and Scala. Experience with data warehousing, ETL processes, and real-time data streaming. Familiarity with open-source technologies and tools commonly used in data engineering. Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Strong leadership and project management skills. Ability to work collaboratively in a cross-functional team environment. Will Be a Plus: AWS Certified Solutions Architect – Professional or similar certifications. Databricks Certification (Databricks Certified Professional Data Engineer or equivalent certification). Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience with AI/ML integration in data platforms. Familiarity with data governance tools and practices. Contributions to open-source projects or active participation in the data engineering community. #J-18808-Ljbffr